Full Stack Developer

Full Stack Developer (AI-Augmented Engineering)

Department: App Product

Location:Jaipur

Days of Working: 6 days per week

About the role

We're looking for a Full Stack Developer who builds across the entire stack and treats AI as a core part of how they work. You'll ship features end-to-end — frontend, backend, database, and deployment — while using AI coding tools and LLMs to move faster, raise quality, and tackle larger problems than a single engineer normally could. This is not just we allow Copilot. We expect you to design AI-assisted workflows, integrate AI features into our product, and have strong judgment about where AI helps and where it shouldn't be trusted.

What you'll do

• Build and ship full-stack features end-to-end: responsive frontends, robust backend services, well-designed APIs, and the data layer behind them.
• Use AI coding assistants (Claude Code, Cursor, Copilot, or similar) fluently in your daily workflow — scaffolding, refactoring, test generation, debugging, and code review.
• Integrate LLM-powered features into our product: chat interfaces, retrieval-augmented generation (RAG), agentic workflows, structured output, and tool/function calling.
• Write clear, well-scoped prompts and specs that let AI tools produce reliable, reviewable output — and know when to drop down to hand-written code.
• Maintain a high quality bar: AI accelerates the work, but you own correctness, security, and maintainability of everything that ships.
• Design and consume APIs (REST/GraphQL), manage relational and/or vector databases, and handle authentication, caching, and background jobs.
• Own deployment and reliability: CI/CD pipelines, observability, and cloud infrastructure.
• Collaborate with product and design to turn ideas into shipped features quickly, using AI to compress the path from concept to prototype to production.
• Help establish team practices for using AI responsibly — review standards, prompt/spec patterns, and guardrails against hallucinated or insecure code.

What you'll bring

• 3-4 years building production web applications across the full stack.
• Strong proficiency in a modern frontend framework (React, Next.js, Vue, or similar) and a backend language/runtime (Node.js/TypeScript, Python, Go, or similar).
• Solid grasp of databases (PostgreSQL/MySQL), API design, and cloud platforms (AWS, GCP, or Azure).
• Demonstrated, hands-on use of AI tools in real development work — be ready to talk about how you actually use them and where they've helped or failed you.
• Experience integrating or building with LLM APIs (OpenAI, Anthropic, or similar), including prompting, context management, and handling non-deterministic output.
• Strong engineering judgment: you review AI-generated code critically and never ship what you don't understand.
• A bias for shipping, with attention to security, performance, and code quality.

Nice to have

• Experience with RAG, vector databases (pgvector, Pinecone, Weaviate), or agent frameworks.
• Building evals or testing strategies for AI-powered features.
• Familiarity with MCP (Model Context Protocol), function/tool calling, or building developer tooling.
• Contributions to open source or internal AI tooling/automation.
• Experience with TypeScript end-to-end and infrastructure-as-code.